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. 2022 Aug 19;14(1):113.
doi: 10.1186/s13195-022-01056-x.

Italian adaptation of the Uniform Data Set Neuropsychological Test Battery (I-UDSNB 1.0): development and normative data

Francesca Conca #  1 , Valentina Esposito #  1 , Francesco Rundo  2 , Davide Quaranta  3   4 , Cristina Muscio  5   6 , Rosa Manenti  7 , Giulia Caruso  8 , Ugo Lucca  9 , Alessia Antonella Galbussera  9 , Sonia Di Tella  10 , Francesca Baglio  10 , Federica L'Abbate  3 , Elisa Canu  11 , Valentina Catania  12 , Massimo Filippi  11   13 , Giulia Mattavelli  14   15 , Barbara Poletti  16 , Vincenzo Silani  16   17 , Raffaele Lodi  18 , Maddalena De Matteis  18 , Michelangelo Stanzani Maserati  18 , Andrea Arighi  19 , Emanuela Rotondo  19 , Antonio Tanzilli  20 , Andrea Pace  20 , Federica Garramone  21 , Carlo Cavaliere  21 , Matteo Pardini  22   23 , Cristiano Rizzetto  22   23 , Sandro Sorbi  10 , Roberta Perri  8 , Pietro Tiraboschi  6 , Nicola Canessa  14   15 , Maria Cotelli  7 , Raffaele Ferri  2 , Sandra Weintraub  24 , Camillo Marra  3 , Fabrizio Tagliavini  6 , Eleonora Catricalà  1   14 , Stefano Francesco Cappa  25   26
Affiliations

Italian adaptation of the Uniform Data Set Neuropsychological Test Battery (I-UDSNB 1.0): development and normative data

Francesca Conca et al. Alzheimers Res Ther. .

Erratum in

  • Correction: Italian adaptation of the Uniform Data Set Neuropsychological Test Battery (I‑UDSNB 1.0): development and normative data.
    Conca F, Esposito V, Rundo F, Quaranta D, Muscio C, Manenti R, Caruso G, Lucca U, Galbussera AA, Di Tella S, Baglio F, L'Abbate F, Canu E, Catania V, Filippi M, Mattavelli G, Poletti B, Silani V, Lodi R, De Matteis M, Maserati MS, Arighi A, Rotondo E, Tanzilli A, Pace A, Garramone F, Cavaliere C, Pardini M, Rizzetto C, Sorbi S, Perri R, Tiraboschi P, Canessa N, Cotelli M, Ferri R, Weintraub S, Marra C, Tagliavini F, Catricalà E, Cappa SF. Conca F, et al. Alzheimers Res Ther. 2023 Mar 24;15(1):63. doi: 10.1186/s13195-023-01213-w. Alzheimers Res Ther. 2023. PMID: 36964616 Free PMC article. No abstract available.
  • Correction: Italian adaptation of the Uniform Data Set Neuropsychological Test Battery (I‑UDSNB 1.0): development and normative data.
    Conca F, Esposito V, Rundo F, Quaranta D, Muscio C, Manenti R, Caruso G, Lucca U, Galbussera AA, Di Tella S, Baglio F, L'Abbate F, Canu E, Catania V, Filippi M, Mattavelli G, Poletti B, Silani V, Lodi R, De Matteis M, Maserati MS, Arighi A, Rotondo E, Tanzilli A, Pace A, Garramone F, Cavaliere C, Pardini M, Rizzetto C, Sorbi S, Perri R, Tiraboschi P, Canessa N, Cotelli M, Ferri R, Weintraub S, Marra C, Tagliavini F, Catricalà E, Cappa SF. Conca F, et al. Alzheimers Res Ther. 2023 Jun 5;15(1):104. doi: 10.1186/s13195-023-01247-0. Alzheimers Res Ther. 2023. PMID: 37277846 Free PMC article. No abstract available.

Abstract

Background: Neuropsychological testing plays a cardinal role in the diagnosis and monitoring of Alzheimer's disease. A major concern is represented by the heterogeneity of the neuropsychological batteries currently adopted in memory clinics and healthcare centers. The current study aimed to solve this issue.

Methods: Following the initiative of the University of Washington's National Alzheimer's Coordinating Center (NACC), we presented the Italian adaptation of the Neuropsychological Test Battery of the Uniform Data Set (I-UDSNB). We collected data from 433 healthy Italian individuals and employed regression models to evaluate the impact of demographic variables on the performance, deriving the reference norms.

Results: Higher education and lower age were associated with a better performance in the majority of tests, while sex affected only fluency tests and Digit Span Forward.

Conclusions: The I-UDSNB offers a valuable and harmonized tool for neuropsychological testing in Italy, to be used in clinical and research settings.

Keywords: Alzheimer’s disease; Cognition; Neuropsychological tests; UDS.

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Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
Histograms showing the distributions of the examples of test scores in the battery
See this image and copyright information in PMC

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